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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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access to cutting-edge field and laboratory facilities including a high performance geospatial computing suite, UAV sensing platforms including LiDAR, thermal and multispectral imaging, and GNSS surveying
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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level in the relevant subject area for the research programme; with a productive track record and have experience covering the full range of duties required. About the Institution The Faculty of Medicine
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researcher to work in collaboration with and under the supervision of Professor Michelle West to realise the objectives of a research programme into Epstein-Barr virus (EBV) mechanisms of transformation and